John Taylor's favorites

Open Source Bridge 2012

Favorite sessions for this user

* Firefox Crash Reporting: Using Big Data in Your Open Source Project

Learn how Mozilla collects and analyzes three million crash reports a day with Python, PHP, PostgreSQL and HBase.
Chemistry
Laura Thomson

* Information Radiation and You

Building your company's status board is more than just putting charts on a screen - numbers are just data, whether you write out the digits or plot a squiggly line. Learn to transform your data into information, and let that information instruct you.
Cooking
Pieter van de Bruggen

Favorite proposals for this user

* Mining User Identity

Identity and social grouping are foundations of how we understand people that come to our sites and products, yet companies simply stop at implementing a flat profile. We will look into the concepts of human identity through concepts like tribalism, while using identity data mining open source initiatives, to show how integrated identity can help you understand your users to a greater degree than ever before.
Chemistry 2012-03-08 17:22:30 +0000
Jonathan LeBlanc

* Scalding: powerful and concise MapReduce programming

In this talk we introduce scalding, an open-source Scala DSL for Apache Hadoop.
Hacks 2012-03-29 19:09:38 +0000
Argyris Zymnis

Open Source Bridge 2011

Favorite sessions for this user

* A Dozen Databases in 45 Minutes

What OSS database to use is an important decision, but recently languishing in the shadow of the sexier "what framework should I use" talks - or underplayed as though the battle were only SQL v noSQL. If your understanding of data storage tops out at "Mongo is webscale" or "mysql + memcached = win" then this talk is for you.
Cooking
Eric Redmond

* Data Warehousing 101

ETL. OLAP. BIDW. ELT. M/R. MPP. Windowing. Matviews. Data Marts. Column Stores. Are you at sea in a tidal surge of arcane terminology, trying to cope with big data problems?
Cooking
Josh Berkus

* Getting Started with Semantic Web Applications

Leave rigid tables behind, and work with your data as a graph, using standard web data schemas.
Cooking
Leif Warner, Brian Panulla

* No More Joins

Everything you learned about database modeling is wrong. At least for document databases like CouchDB and MongoDB. Learn about these differences, the trade-offs, the use cases, and put it all in practice in a discussion about a real-life document database problem. Unlearn SQL habits and relax.
Cooking
Nuno Job, J Chris Anderson, Roger Bodamer

* The Big Data Exploratorium: Data Mining, from Patents to Memes

Learn to use simple natural language processing and graph analysis tools in Python and R to explore the structure of the dataverse. From Reddit to the USPTO to Google Books, come try some data hacks!
Cooking
Noah Pepper, Devin Chalmers